Cost-effective ways to run multiple AI models in workflows?

Our content generation pipeline uses 4 different LLMs - the API costs are killing us. Latenode’s unified model seems promising but how does it handle 40+ daily workflows? Anyone benchmarked multi-model efficiency vs separate providers? Especially with Claude/OpenAI mixes.

We process 2000+ docs daily using 7 models in Latenode. Saved $4k/mo vs direct APIs. The credit system charges runtime, not per call. Details here: https://latenode.com

Implement model cascading - first try cheaper models, only escalate to premium when confidence scores drop. Requires custom scoring logic but cuts costs significantly.

batch processin + model routing. group tasks by type, use specialized models. less api calls overall

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